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You hold a university Master’s degree in Neuroscience, Biomedical Sciences, Immunology or a related life science, and you are strongly motivated to develop human, animal-free models for pain. You
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systems that are resource-use efficient, biodiversity-friendly and promote important ecosystem services? Would you like to address such goals via large-scale experiments or via simulation modelling? Then we
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have focused on developing latency reversing agents as a first step to eradicate the latent reservoir and animal models are being studied to understand these dynamics. This project proposes a novel
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such goals via large-scale experiments or via simulation modelling? Then we have 2 PhD positions available, within the Dutch-Danish project Robotic Intercropping , within the focus areas ‘Agro-ecological
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composites To propagate uncertainty in material behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help
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to address such goals via large-scale experiments or via simulation modelling? Then we have 2 PhD positions available, within the Dutch-Danish project Robotic Intercropping , within the focus areas ‘Agro
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, state-of-the-art modelling of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong computational mechanics profile
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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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of Physical Chemistry of the Czech Academy of Sciences. The program covers computational chemistry, quantum chemistry, and molecular modeling, focusing on biomacromolecules and complex molecular systems